RAXEM - Supporting Command Uplink in Mars Express

Cesta, A., Cortellessa, G., Denis, M., Donati, A., Fratini, S., Oddi, A., Policella, N., Rabenau, E. and Schulster, J

In i-SAIRAS-08, Proceedings of the 9th International Symposium in Artificial Intelligence, Robotics and Automation in Space, JPL, CA, February, 2008

This paper describes an AI based system named RAXEM, developed to support human mission planners in the daily task to plan uplink commands for the MARS EXPRESS spacecraft. The intelligent environment of RAXEM helps the users analyzing the problem and taking planning decisions as a result of an interactive process. Different aspects have been considered like integrating flexible automated algorithms, promoting user active participation during problem solving and guaranteeing continuity of work practice.